{"id":"W4229363521","doi":"10.1503/cmaj.211739","title":"The link between medical conditions and fatal drownings in Canada: a 10-year cross-sectional analysis","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Ottawa; International Development Research Centre","funders":"","keywords":"Medicine; Relative risk; Poison control; Injury prevention; Suicide prevention; Occupational safety and health; Pediatrics; Cohort; Medical emergency; Confidence interval; Demography; Emergency medicine; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008880566,0.0004347408,0.0006137523,0.001729377,0.001811081,0.001146486,0.001391196,0.0006736051,0.002215001],"category_scores_gemma":[0.002470874,0.0006525469,0.001376571,0.003846847,0.0006592668,0.0004914937,0.001083285,0.001223127,0.0002242598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01464138,"about_ca_system_score_gemma":0.0142859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752859,"about_ca_topic_score_gemma":0.9747272,"domain_scores_codex":[0.9989831,0.00007089526,0.0001093429,0.0002062341,0.0003360736,0.0002943174],"domain_scores_gemma":[0.9971952,0.0002004191,0.0008978831,0.0001245915,0.0009947511,0.0005871316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003244449,0.0000136892,0.9989236,0.00002310714,0.00009704194,0.00002572952,0.00007090686,0.00004629556,0.00002481509,0.00001496806,0.0002812746,0.0004461471],"study_design_scores_gemma":[0.000005555922,0.00001997838,0.9992154,0.00002457957,0.00004890883,0.00003808606,0.0002059714,0.0001823586,0.00001073961,0.000008438411,0.000233881,0.000006272443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837883,0.001461714,0.0001615308,0.0002548498,0.00001945677,0.00008049125,0.01285664,0.00001895877,0.001358122],"genre_scores_gemma":[0.9936271,0.001018362,0.000198295,0.0001230625,0.00001001681,0.00003350685,0.004548472,0.000006562955,0.0004346477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02471405,"threshold_uncertainty_score":0.1062311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179668001779136,"score_gpt":0.2977221151131298,"score_spread":0.2859254350953385,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}